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videomae-large-cctv-brawl_extended_v1 – AI Model by onarganogun | AlphaNeural AI
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onarganogun
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videomae-large-cctv-brawl_extended_v1
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transformers
pytorch
videomae
video-classification
generated_from_trainer
MCG-NJU/videomae-large
finetune
cc-by-nc-4.0
endpoints_compatible
us
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videomae-large-cctv-brawl_extended_v1
This model is a fine-tuned version of
MCG-NJU/videomae-large
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.4430
Accuracy: 0.8252
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
learning_rate: 3e-07
train_batch_size: 4
eval_batch_size: 4
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
training_steps: 12565
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
0.4193
0.2
2514
0.4839
0.6985
0.3542
1.2
5028
0.4445
0.7593
0.2673
2.2
7542
0.4344
0.7993
0.3185
3.2
10056
0.4328
0.8201
0.4006
4.2
12565
0.4430
0.8252
Framework versions
Transformers 4.34.1
Pytorch 2.1.0+cu118
Datasets 2.14.6
Tokenizers 0.14.1
